文献类型：期刊文献

中文题名：Optimized air-ground data fusion method for mine slope modeling

作者：LIU Dan[1];HUANG Man[2];TAO Zhigang[1];HONG Chenjie[1];WU Yuewei[2];FAN En[3];YANG Fei[2]

机构：[1]State Key Laboratory for Tunnel Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;[2]Department of Civil Engineering,Shaoxing University,Shaoxing 312000,China;[3]Department of Computer Science and Engineering,Shaoxing University,Shaoxing 312000,China

年份：2024

卷号：21

期号：6

起止页码：2130

中文期刊名：Journal of Mountain Science

外文期刊名：山地科学学报（英文）

收录：SCI-EXPANDED(收录号：WOS:001249123300017)、CSTPCD、、CSCD2023_2024、Scopus(收录号：2-s2.0-85195967839)、WOS、CSCD、PubMed

基金：funded by National Natural Science Foundation of China(Grant Nos.42272333,42277147).

语种：英文

中文关键词：Air-ground data fusion method;Mini batch K-Medoids algorithm;Ebow rule;Optimal cluster number;3D laser scanning;UAV tilt photogrammetry

中文摘要：Refined 3D modeling of mine slopes is pivotal for precise prediction of geological hazards.Aiming at the inadequacy of existing single modeling methods in comprehensively representing the overall and localized characteristics of mining slopes,this study introduces a new method that fuses model data from Unmanned aerial vehicles(UAV)tilt photogrammetry and 3D laser scanning through a data alignment algorithm based on control points.First,the mini batch K-Medoids algorithm is utilized to cluster the point cloud data from ground 3D laser scanning.Then,the elbow rule is applied to determine the optimal cluster number(K0),and the feature points are extracted.Next,the nearest neighbor point algorithm is employed to match the feature points obtained from UAV tilt photogrammetry,and the internal point coordinates are adjusted through the distanceweighted average to construct a 3D model.Finally,by integrating an engineering case study,the K0 value is determined to be 8,with a matching accuracy between the two model datasets ranging from 0.0669 to 1.0373 mm.Therefore,compared with the modeling method utilizing K-medoids clustering algorithm,the new modeling method significantly enhances the computational efficiency,the accuracy of selecting the optimal number of feature points in 3D laser scanning,and the precision of the 3D model derived from UAV tilt photogrammetry.This method provides a research foundation for constructing mine slope model.